Healthcare Data Engineer

About the role

About Our Client: This organization operates within the healthcare and social connection sector, addressing the challenge of social isolation and health engagement among community members. It partners with health plans and community groups to facilitate small, trust-based groups that support members' well-being and foster lasting connections. By combining peer support, local facilitation, and data-driven insights, the program helps members stay engaged with their health while enabling partners to achieve better outcomes at scale.

About the Opportunity: The HEALTHCARE DATA ENGINEER is responsible for building and maintaining reliable data pipelines and modernizing data workflows that support analytics and machine learning initiatives. This role is critical in ensuring that data used across the organization is trustworthy, well-structured, and actionable. The engineer will work closely with analytics and data science teams to enable data-driven decision-making and innovation.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines using Python and SQL
• Ingest data from cloud storage, APIs, and internal systems
• Develop and optimize SQL queries and manage data schemas in cloud data warehouses
• Troubleshoot production data issues and ensure data quality and observability
• Document data pipelines and datasets clearly
• Ensure data security and compliance for sensitive information including PHI and PII
• Migrate legacy workflows to robust orchestration frameworks
• Implement reliable, retry-safe production jobs
• Enhance pipeline reliability and monitoring
• Use version control and collaborative development practices
• Collaborate with analytics and data science teams to provide clean, modeled datasets
• Support business intelligence tools and reporting workflows
• Meet data quality and delivery service level agreements
• Develop lightweight AI integrations to augment data workflows

Requirements

• 3–6 years of experience in data or analytics engineering
• Strong Python skills including data handling and API integration
• Advanced SQL skills with experience in cloud data warehouses
• Hands-on experience with AWS services such as S3, IAM, and Redshift
• Experience with data ingestion using APIs
• Proficient with Git and collaborative development workflows
• Ability to work with imperfect data and legacy systems

Qualifications

• Experience with orchestration tools like Airflow
• Familiarity with Salesforce API integrations
• Knowledge of Google Drive and Sheets APIs
• Exposure to large language model APIs
• Experience with healthcare data and productionalizing data science models
• Familiarity with tools like Matillion or Mulesoft

Pay

The expected base salary range for this position is $130,000 – $160,000 per year. Performance-based incentive bonuses.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) Plan
• Paid Time Off
• Employee Assistance Program
• Health Care FSA
• Dependent Care FSA
• Health Savings Account
• Voluntary Disability Benefits
• Basic Life and AD&D Insurance
• Adoption Assistance Program
• Training and Development opportunities